基于QAPM矿物模型遗传算法评价火成岩储层

在松辽盆地深层发现了含气火成岩储层。由于火成岩矿物组成复杂和含量的变化,使得选择用于测井评价的解释参数很困难。基于IUGS提出的QAPF分类方案,本文提出了采用遗传算法,利用测井数据确定火成岩矿物含量的方法。根据QAPF分类方案,将火成岩中的矿物分为五类:Q-石英;A-碱性长石;P-斜长石和方柱石;F-副长石(研究区未出现);M-铁镁矿物。本文提出用包括孔隙度在内的QAPM模型对储层进行分析。建立密度、视中子孔隙度、声波时差、自然伽玛和体积光电吸收截面指数的测井响应方程,各矿物参数从斯伦贝谢的矿物参数手册中得到。用遗传算法计算骨架中四种矿物的体积,根据四种矿物的体积含量,依据QAPF分类对火成岩命名。基于解释参数计算的孔隙度可与岩心分析的孔隙度相比,本文给出的火成岩命名与岩心化学分析的命名相一致。     

利用成像测井自动判别礁滩储层沉积相和岩性

礁滩储层是我国海相碳酸盐岩油气勘探的重要目标,也是我国油气产能的重要接替领域之一。由于礁滩储层储集空间类型多样,非均质性极强,依靠常规测井判别其沉积相和岩性非常困难。成像测井能够清晰地反映礁滩储层的结构组分和沉积构造,为沉积相和岩性的判别提供了可靠的依据。在对大量礁滩储层的成像和岩心对比观察的基础上,我们提出了9种典型的成像解释模式,建立了利用成像解释模式自动判别礁滩储层沉积相和岩性的方法并研制了相应的处理软件。该方法在塔中和川东北地区礁滩储层的实际应用中取得了良好的效果。     

Effect of environmental gradients on the quantity and quality of fallen logs in Tsuga longibracteata forest in Tianbaoyan National Nature Reserve, Fujian province, China

We investigated the quantity and quality 0f fallen l0gs in different Tsuga l0ngibracteata f0rest c0mmunities in the Tianba0yan Nati0nal Nature Reserve. We used redundancy analysis t0 determine the spatial distributi0n 0f fallen l0gs in the different f0rest c0mmunities and t0 analyze the relati0nships am0ng stand structure, t0p0graphic fact0rs and human disturbance. The v0lume, c0vered area, mean l0g length and number 0f fallen l0gs differed significantly am0ng f0rest types （P 〈 0.05）, but mean diameter at breast height sh0wed n0 significant difference （P 〉 0.05）. The l0g v0lume and c0vered area in different f0rest types sh0wed the f0ll0wing trend： T. l0ngibracteata pure f0rest 〈 T. l0ngibracteata ＋ Olig0staehyum scabrifl0rur 〈 T. l0ngibraeteata ＋ hardw00d 〈 Rh0d0dendr0n simiarum ＋ T. l0ngibraeteata 〈 T. l0ngibraeteata ＋ Phyll0stachys heter0cycla pubescens. The spatial distributi0n patterns 0f l0gs quantity and quality indicated that l0g v0lume and c0vered area were str0ngly affected by envir0nmental fact0rs in the f0ll0wing 0rder： human disturbance 〉 elevati0n 〉 sl0pe p0siti0n 〉 b0le height 〉 tree height 〉 sl0pe aspect 〉 density 〉 basal area 〉 sl0pe gradient. The relative c0ntributi0n 0f envir0nmental variables 0n the t0tal variance was t0p0graphy （76%） 〉 disturbance （42%） 〉 stand structure （35%）. T0p0graphy and disturbance c0mbined explained 8.2% 0f the variance. Fallen l0~s auantitv and aualitvwere negatively related t0 elevati0n and sl0pe p0siti0n, and p0sitively ass0ciated t0 human disturbance. The l0g v0lume decreased fr0m n0rthern t0 s0uthern sl0pes. Envir0nmental fact0rs had the highest impact 0n class I （slightly decayed）, and l0west impact 0n class V （highly decayed）.     

Identification of water-bearing fractures in hard rock terrain by electrical conductivity logs, India

For the delineation of water-bearing fractures in hard rock areas, a new hydro-chemical technique has been developed which is based on electrical conductivity (EC) logs. The EC logs were carried out in experimental shallow bore wells (≈50 m) in three different parts of India. A sharp variation in EC was observed near water-bearing fractures in hard rock areas. To access applications of this technique, different locations in India were selected and experimental bore wells (≈50 m) were drilled. These were:

Color display of well logs

Information displayed in image form is conventionally at least two-dimensional. One-dimensional data can also be displayed as imagery by amplitude slicing a function and representing these amplitude slices as grey levels or as intensities of a particular color. An image having length and width can be formed from one-dimensional data by arranging a sequence of such color levels along the length of the image, corresponding to the independent space or time variable, and by extending these color levels arbitrarily along the width of the image. Such an image is of arbitrary width and exhibits changes, or information, only along its length. If three such images are made, one in each of the three primary colors, each image representing a different one-dimensional function over the same range of a common independent space or time variable, standard primary color composition can be used to unite these three images into a single full-color image in either computer graphic or photographic media. When three different well logs from a single borehole are combined in this manner, the resulting full-color image is equivalent to a three-axis cross-plot of the logs involved. Because primary colors appear to the human eye to be orthogonal and miscible, the color image preserves all information present in the three original data sets.Further, because this color representation of data can be arranged conveniently in depth sequence, the color composite image presents both information best visualized in cross-plot presentation (e.g., lithologic clustering and differentiation) and information lacking in cross-plots that is best seen in conventional wiggle-trace displays of well logs (e.g., stratigraphic or depth sequence). Such color presentations of well log data reduce the number of displays competing for an interpreter's attention by uniting three wiggle traces into one display and relieve the burden of mentally combining data from several separate displays. Combined interpretation is particularly essential in well log interpretation where one must analyze individually ambiguous data sets; color log presentation automatically provides combination while leaving interpretation to the scientist. Color log images also present log data to the user in a form that differs from conventional wiggle trace and so appeals to a different and richer set of human perceptions and pattern recognition skills.     

裸眼井声波全波测井中纵波和斯通利波的数值研究

本文利用射线展开理论、割线积分技术及留数定理,研究了裸眼井声波全波测井中纵波和斯通利波的性质。下面简要说明数值计算方法。 计算方法 考虑在无限大均匀地层中,有一充满流体的深井。在井轴上放一点状声源,则在井轴上离声源距离为z处的声压为     

利用常规测井资料基于岩石物理和多矿物分析反演横波速度

测井横波速度是测井地震联合反演的重要标定参数.为克服大量老井缺少横波速度资料和现有横波速度估算方法的不足, 基于孔隙介质岩石物理理论, 通过常规测井资料求取多矿物组分, 利用VRH模型求得地层的等效弹性模量; 最后利用纵波速度作为约束条件, 根据Biot-Gassmann方程得到地层横波速度.计算结果与实测结果对比表明, 平均相对误差限在5%左右, 与Xu-White模型相比, 该方法物理意义更为明确, 使用更简便, 计算精度提高一倍左右.      

岩性扫描测井解释评价方法及其地质应用

作为新兴的测井仪器,岩性扫描测井（LithoScanner）通过获取地层元素含量,进一步获得地层矿物含量,帮助地质学家解决复杂岩性识别等地质学难题。为了充分推广其在地质学领域的应用, 笔者等对岩性扫描测井的原理和解释处理流程进行梳理,并对应用过程中出现的典型案例进行分析。LithoScanner测井可直接获取地层岩性特征,帮助识别地层界面,并实现页岩等复杂岩性、岩相的准确识别。而脆性矿物含量、有机碳含量等也可被LithoScanner测井准确获取,从而计算地层中的脆性指数和有机碳的含量。LithoScanner测井可以探测黄铁矿、煤层等特殊矿物组分,因此可以辅助核磁共振测井资料解释评价。最后指出LithoScanner测井与相应的岩芯和实验数据进行比对,提高LithoScanner测井的可靠性。研究有助于将LithoScanner测井中蕴含的大量地质信息进行挖掘与解读,并消除该资料应用中的一些误区,从而推广LithoScanner测井应用领域。